Sr. Hadoop Engineer
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Sr. Hadoop Engineer
Ref No.: 17-00156
Location: Melford, Maryland
Position Type:Contract
Start Date: 08/14/2017
 Qualifications
  • Experience engineering Hadoop solution
  • Technology experience required; Hive, Hbase, Sqoop, Ranger, zookeeper, NIFI
  • Other technologies good to have; Spark, Phoenix, Spring Batch, Accumulo
  • In depth experience with one of the major Hadoop distributions
  • Java scripting and application support experience strongly desired.
  • Experience with virtualization technologies required
  • 5-10 years' experience with Unix management, complex computing platforms, and/or cutting-edge technologies involving virtualization, distribution, and high performance computing;
  • You are driven to solve difficult problems with scalable, elegant, and maintainable solutions;
  • Expert troubleshooter – unwilling to let a problem defeat you; unrelenting, persistent, confident;
  • A penchant for thinking outside the box to solve complex and interesting problems;
  • Bachelors degree in Computer Science, technical field, or equivalent experience;
  • Extensive knowledge of existing industry standards, technologies, and infrastructure operations;
  • Manage stressful situations with calm, courtesy, and confidence;
Description
The Big Data Engineering team designs, builds, and maintains the software, hardware, network, and computing technologies that power all of Inovalon's Big Data services. We are the foundation upon which innovations are built, from high octane data analytics horsepower to insightful healthcare data solutions that will change the future. You seek a challenge, demand excellence of yourself, and harbor a fierce desire to produce infallible solutions.
 
Responsibilities
  • Contribute to evolving design, architecture, and standards for building and delivering unique services and solutions;
  • Implement best-in-industry, innovative technologies that will expand Inovalon's infrastructure through robust, scalable, adrenaline-fueled solutions;
  • Participate in the enterprise infrastructure vision and strategy;
  • Focused on service reliability and sustainability;
  • Develop and execute plans for complex systems backed by excellence, confidence, and thorough engineering analysis;
  • Leverage metrics to manage the server fleet and complex computing systems to drive automation, improvement, and performance;
  • Take responsibility for operational support for production systems and optimization;